We use five benchmarks with statistics detailed in Table REF .
Specifically, we evaluate the effectiveness on the first three benchmarks that are subsets of real Open Data with manually labeled ground truth.
The SANTOS Small benchmark [1]} consists of 550 real data lake tables drawn from 296 Canada, UK, US, and Australian open datasets, and 50 query tables.
From Table Union Search [2]}, there are two available benchmarks:
TUS Small and TUS Large.
TUS Small benchmark consists of 1,530 data lake tables that are derived from 10 base tables from Canada open data.
We also use the larger benchmark, TUS Large, which consists of \(\sim \) 5,000 data lake tables derived from 32 base tables from Canada open data.
For these two benchmarks, we randomly select 150 and 100 query tables, respectively, following previous studies [1]}, [2]}.
The SANTOShttps://github.com/northeastern-datalab/santos and TUS https://github.com/RJMillerLab/table-union-search-benchmark benchmarks, along with their ground truth of unionable tables, are publicly available.
